Novel Approach in Decision Making with m–Polar Fuzzy ELECTRE-I

ELECTRE-I technique is extensively used in real-life applications, but coping with the precise statistics and numerical measure, it is hard to target precisely because the expert’s judgments are mostly vague in practical problems. In this research article, we introduce an m–polar fuzzy ELECTRE-I (mF-ELECTRE-I) approach as a brand new extension of the ELECTRE-I, for multi-criteria decision-making problems based on m–polar fuzzy sets because it is a powerful tool for depicting fuzziness and uncertainty under multipolar information. Proposed technique is more flexible and practical for real-world problems, specially when data come from multipolar information. In the proposed approach, the ratings of the alternatives under subjective criteria and its normalized weights are assessed by the decision maker. We solve numerical examples to demonstrate the feasibility, validity and effectiveness of our proposed technique. We also make pairwise comparisons of the alternatives by using outranking relations in numerical examples. Further, we present the rankings of alternatives through a directed graph that shows which alternative is preferable or incomparable under m–polar fuzzy environment. Finally, we develop an algorithm of our proposed approach and compare it with previously existing approaches.